给出了周期正交样条小波的计算方法。用这种周期正交样条小波可方便地处理有限区间上的问题。
In this paper, we present the computational methods of periodic orthogonal spline wavelets, which can be used to process the problems on the finite interval.
该算法利用前向线性预测技术以及区间正交小波变换抑制边界效应的能力，有效地减小了角随机游走和发动机干扰。
The algorithm USES forward linear prediction and the ability of the interval wavelet transform to restrain terrible edge effects, thus, the Angle walk and engine jamming are reduced effectively.
第四章详细地讨论了利用区间双正交小波，根据小波分解和重构来提取图像的边缘特征的一种新方法。
The fourth chapter discusses in detail a novel method for edge feature detection of images based on wavelet decomposition and reconstruction by means of interval biorthogonal wavelet.
以光滑函数的一阶导数作为小波母函数 ，研究了管道泄漏特征信号拐点区间的敏感性 ，突出小波变换系数的局部极值性。
The differential coefficient of smooth function was taken as a mother wavelet for researching the sensitivity segment of inflexion of pipeline leakage signal.
以光滑函数的一阶导数作为小波母函数 ，研究了管道泄漏特征信号拐点区间的敏感性 ，突出小波变换系数的局部极值性。
The differential coefficient of smooth function was taken as a mother wavelet for researching the sensitivity segment of inflexion of pipeline leakage signal.
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